Systems Engineering and Electronics ›› 2026, Vol. 48 ›› Issue (1): 235-248.doi: 10.12305/j.issn.1001-506X.2026.01.21

• Systems Engineering • Previous Articles     Next Articles

Decision-making method based on hesitant fuzzy rough set for the variety of equipment stored on behalf of the factory

Zhiqiang CUI1,2(), Hongli JIA1,*, Lili GAO1, Bing HAO1   

  1. 1. Shijiazhuang Campus,Army Engineering University of PLA,Shijiazhuang 050003,China
    2. Unit 66426 of the PLA,Changzhi 046000,China
  • Received:2024-06-07 Online:2026-01-25 Published:2026-02-11
  • Contact: Hongli JIA E-mail:2932245889@qq.com

Abstract:

Aiming at the characteristics of the factory storage equipment guarantee mode and the hesitant fuzzy feature of decision-making information, it is difficult to achieve attribute reduction and rule extraction using traditional equipment variety decision-making methods. Firstly, a equipment variety decision-making method based on hesitant fuzzy rough sets is proposed. Analyze the influencing factors of factory storage equipment variety decision-making from the aspects of production cycle, criticality, storage requirements, economy, consumption, universality, and modernization level of guarantee equipment. Secondly, an incomplete information extension method based on decision-making habits is proposed. Finally, constructed a equipment attribute reduction and rule extraction model based on similarity-derived fuzzy equivalence relation. A certain storage equipment factory is selected as a case study, and verified the effectiveness of the proposed method. The proposed method effectively completed the selection of storage equipment varieties.

Key words: hesitant fuzzy set, rough set, variety selection, attribute reduction, decision-making rule

CLC Number: 

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